Darmood Wei

902 total citations
17 papers, 460 citations indexed

About

Darmood Wei is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Darmood Wei has authored 17 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 6 papers in Cancer Research. Recurrent topics in Darmood Wei's work include Cancer Mechanisms and Therapy (6 papers), Chromatin Remodeling and Cancer (6 papers) and Renal and related cancers (5 papers). Darmood Wei is often cited by papers focused on Cancer Mechanisms and Therapy (6 papers), Chromatin Remodeling and Cancer (6 papers) and Renal and related cancers (5 papers). Darmood Wei collaborates with scholars based in United States, Japan and China. Darmood Wei's co-authors include W. Marston Linehan, Martin Lang, Christopher J. Ricketts, Daniel R. Crooks, Ramaprasad Srinivasan, Laura S. Schmidt, Bernard E. Weissman, Yasumichi Kuwahara, Youfeng Yang and Carole Sourbier and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Darmood Wei

16 papers receiving 459 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Darmood Wei United States	11	328	184	135	61	57	17	460
Giorgia Federico Italy	10	220 0.7×	186 1.0×	124 0.9×	33 0.5×	111 1.9×	22	518
Donghua Gu China	13	385 1.2×	95 0.5×	202 1.5×	57 0.9×	79 1.4×	23	518
Verónica Corrales‐Sánchez Spain	13	354 1.1×	105 0.6×	143 1.1×	70 1.1×	169 3.0×	25	497
Sina Oppermann Germany	8	276 0.8×	217 1.2×	145 1.1×	40 0.7×	50 0.9×	10	465
Weilong Yao China	12	378 1.2×	187 1.0×	102 0.8×	57 0.9×	166 2.9×	17	508
Zongjuan Ming China	13	275 0.8×	130 0.7×	141 1.0×	25 0.4×	103 1.8×	32	480
Asmitananda Thakur China	15	356 1.1×	73 0.4×	198 1.5×	41 0.7×	91 1.6×	25	507
Chengjuan Zhang China	15	239 0.7×	123 0.7×	121 0.9×	42 0.7×	174 3.1×	39	477
Guus J.J.E. Heynen Netherlands	10	375 1.1×	136 0.7×	121 0.9×	35 0.6×	240 4.2×	11	541
Ka Tat Siu United States	10	335 1.0×	82 0.4×	105 0.8×	41 0.7×	186 3.3×	15	500

Countries citing papers authored by Darmood Wei

Since Specialization

Citations

This map shows the geographic impact of Darmood Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Darmood Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darmood Wei more than expected).

Fields of papers citing papers by Darmood Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darmood Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Darmood Wei. The network helps show where Darmood Wei may publish in the future.

Co-authorship network of co-authors of Darmood Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Darmood Wei. A scholar is included among the top collaborators of Darmood Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Darmood Wei. Darmood Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Yang, Youfeng, Christopher J. Ricketts, Cathy D. Vocke, et al.. (2021). Characterization of genetically defined sporadic and hereditary type 1 papillary renal cell carcinoma cell lines. Genes Chromosomes and Cancer. 60(6). 434–446. 10 indexed citations

Ghosh, Chandrayee, Suresh Kumar, Yevgeniya Kushchayeva, et al.. (2020). A Combinatorial Strategy for Targeting BRAF V600E-Mutant Cancers with BRAFV600E Inhibitor (PLX4720) and Tyrosine Kinase Inhibitor (Ponatinib). Clinical Cancer Research. 26(8). 2022–2036. 18 indexed citations

Song, Shujie, Vinh Nguyen, Travis P. Schrank, et al.. (2020). Loss of SWI/SNF Chromatin Remodeling Alters NRF2 Signaling in Non–Small Cell Lung Carcinoma. Molecular Cancer Research. 18(12). 1777–1788. 26 indexed citations

Emanuele, Michael J., Feng Yan, Dennis Goldfarb, et al.. (2020). SNF5/INI1 Deficiency Redefines Chromatin Remodeling Complex Composition during Tumor Development. UNC Libraries.

Wei, Darmood, Youfeng Yang, Christopher J. Ricketts, et al.. (2020). Novel renal medullary carcinoma cell lines, UOK353 and UOK360, provide preclinical tools to identify new therapeutic treatments. Genes Chromosomes and Cancer. 59(8). 472–483. 3 indexed citations

Kulkarni, Rhushikesh A., Daniel W. Bak, Darmood Wei, et al.. (2019). A chemoproteomic portrait of the oncometabolite fumarate. Nature Chemical Biology. 15(4). 391–400. 78 indexed citations

Kauffman, Eric, Martin Lang, Soroush Rais‐Bahrami, et al.. (2019). Preclinical efficacy of dual mTORC1/2 inhibitor AZD8055 in renal cell carcinoma harboring a TFE3 gene fusion. BMC Cancer. 19(1). 917–917. 15 indexed citations

Sourbier, Carole, Christopher J. Ricketts, Shingo Matsumoto, et al.. (2019). Proteasome inhibition disrupts the metabolism of fumarate hydratase- deficient tumors by downregulating p62 and c-Myc. Scientific Reports. 9(1). 18409–18409. 10 indexed citations

Linehan, W. Marston, Laura S. Schmidt, Daniel R. Crooks, et al.. (2019). The Metabolic Basis of Kidney Cancer. Cancer Discovery. 9(8). 1006–1021. 180 indexed citations

10.

Sourbier, Carole, Christopher J. Ricketts, Darmood Wei, et al.. (2018). Targeting loss of the Hippo signaling pathway in NF2-deficient papillary kidney cancers. Oncotarget. 9(12). 10723–10733. 30 indexed citations

11.

Scroggins, Bradley T., Ayla O. White, Eun Joo Chung, et al.. (2017). Mithramycin A Enhances Tumor Sensitivity to Mitotic Catastrophe Resulting From DNA Damage. International Journal of Radiation Oncology*Biology*Physics. 100(2). 344–352. 7 indexed citations

12.

Yang, Youfeng, Cathy D. Vocke, Christopher J. Ricketts, et al.. (2017). Genomic and metabolic characterization of a chromophobe renal cell carcinoma cell line model (UOK276). Genes Chromosomes and Cancer. 56(10). 719–729. 16 indexed citations

13.

Boufraqech, Myriem, Darmood Wei, Urbain Weyemi, et al.. (2016). LOX is a novel mitotic spindle-associated protein essential for mitosis. Oncotarget. 7(20). 29023–29035. 6 indexed citations

14.

Wei, Darmood, Dennis Goldfarb, Shujie Song, et al.. (2014). SNF5/INI1 Deficiency Redefines Chromatin Remodeling Complex Composition during Tumor Development. Molecular Cancer Research. 12(11). 1574–1585. 28 indexed citations

15.

Kuwahara, Yasumichi, Darmood Wei, Shujie Song, et al.. (2014). SNF5/INI1 Deficiency Destabilizes the SWI/SNF Complex During Malignant Rhabdoid Tumor Development. Cancer Genetics. 207(9). 445–445. 1 indexed citations

16.

Kuwahara, Yasumichi, et al.. (2013). SNF5 Reexpression in Malignant Rhabdoid Tumors Regulates Transcription of Target Genes by Recruitment of SWI/SNF Complexes and RNAPII to the Transcription Start Site of Their Promoters. Molecular Cancer Research. 11(3). 251–260. 31 indexed citations

17.

Cicala, Claudia, Elena Martinelli, Nikita Patel, et al.. (2009). P07-01. The gut mucosal homing receptor integrin α4β7 forms a complex with CD4 and defines a T cell subset that is highly susceptible to infection by HIV-1. Retrovirology. 6(S3). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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